{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6HO2azn3v4Pg",
   "metadata": {
    "id": "6HO2azn3v4Pg"
   },
   "outputs": [],
   "source": [
    "!pip install datasets transformers sentence_transformers openai cohere"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "pAVSLQzpwXYM",
   "metadata": {
    "id": "pAVSLQzpwXYM"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "V0s9rOg-PkbL",
   "metadata": {
    "id": "V0s9rOg-PkbL"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.manifold import TSNE\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import silhouette_score\n",
    "from datasets import load_dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4e808db-0758-48d1-b35a-f7bb0892b26e",
   "metadata": {
    "id": "b4e808db-0758-48d1-b35a-f7bb0892b26e"
   },
   "outputs": [],
   "source": [
    "# https://huggingface.co/datasets/urvog/llama2_transcripts_healthcare_callcenter\n",
    "callcenter_dataset = load_dataset(\"urvog/llama2_transcripts_healthcare_callcenter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7791f1c0-2372-4add-93d2-5ddb44cac377",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7791f1c0-2372-4add-93d2-5ddb44cac377",
    "outputId": "d7342c9e-b7cd-4bb8-ba43-bec43702fab7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'text': \"<s>[INST] Classify the following call transcript:\\n\\nAgent 3: Thank you for calling HealthHarbor, my name is Agent 3. How can I assist you today?\\n\\nCustomer: Hi Agent 3, my name is Emma Johnson. I've been experiencing some symptoms lately and I wanted to seek medical advice or get a symptom assessment.\\n\\nAgent 3: I'm sorry to hear that, Emma. I'll do my best to help you. Can you please describe the symptoms you've been experiencing?\\n\\nCustomer: Sure. I've been having a persistent headache for the past few days, and it's been accompanied by dizziness and occasional nausea. I'm not sure what could be causing it.\\n\\nAgent 3: I understand your concern, Emma. Headaches can have various causes. Have you experienced any recent changes in your lifestyle or any other symptoms besides the headache, dizziness, and nausea?\\n\\nCustomer: No major lifestyle changes, but I have noticed that my vision seems a bit blurry at times. And I've been feeling more fatigued than usual.\\n\\nAgent 3: Thank you for sharing that information, Emma. Blurry vision and fatigue can also be related to your symptoms. It's important to consider all these factors for a proper assessment. Based on your symptoms, I would recommend consulting with a healthcare professional. They will be able to conduct a thorough examination and provide a more accurate diagnosis.\\n\\nCustomer: I was hoping to get some advice before scheduling a doctor's appointment. Is there anything I can do to relieve these symptoms in the meantime?\\n\\nAgent 3: While I'm not a doctor, I can offer some general suggestions. You could try applying a cold or warm compress to your forehead to see if it helps with the headache. It's also important to stay hydrated and get enough rest. However, it's crucial to understand that these measures may not address the underlying cause of your symptoms. A medical professional will be able to provide a more targeted approach.\\n\\nCustomer: I understand. I'll make sure to schedule an appointment with a doctor as soon as possible. Thank you for your advice.\\n\\nAgent 3: You're welcome, Emma. It's always better to be safe and have a professional evaluation. Is there anything else I can assist you with today?\\n\\nCustomer: No, that's all for now. Thank you for your help, Agent 3.\\n\\nAgent 3: You're welcome, Emma. I hope you feel better soon. If you have any more questions or concerns, don't hesitate to reach out. Take care!\\n\\nCustomer: Thank you, Agent 3. Have a great day!\\n\\nAgent 3: You too, Emma. Goodbye! [/INST] Medical Advice or Symptom Assessment </s>\"}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "callcenter_dataset['train'][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48bd0241-aabe-41b5-b833-152bed004afb",
   "metadata": {
    "id": "48bd0241-aabe-41b5-b833-152bed004afb"
   },
   "source": [
    "# Let's turn our data into a Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d5d74d9-e185-48c1-859d-f0173d315138",
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Could you please verify your date of birth for me?\\n\\nCustomer: Sure, it's May 15th, 1985.\\n\\nAgent 1: Thank you for confirming that, Emily. I see here that your lab results were sent to the lab for processing. Sometimes, it can take a little longer to receive the results, especially if there's a high volume of tests being conducted. However, I'll do my best to assist you in getting them as soon as possible. \\n\\nCustomer: Okay, but it's been a week already, and I'm really worried about what the results might show.\\n\\nAgent 1: I understand your concern, Emily. Let me check if there are any updates on your lab results. Can you please hold on for a moment?\\n\\nCustomer: Yes, of course. I'll hold.\\n\\nAgent 1: Thank you for waiting, Emily. I apologize for the delay. It seems that your lab results are still pending. However, I'll send an urgent message to the lab to prioritize your test results. \\n\\nCustomer: Thank you, Agent 1. I appreciate your help. Is there any way to expedite the process?\\n\\nAgent 1: I completely understand your situation, Emily. Let me check if we can expedite your test results. Please bear with me for a moment.\\n\\nCustomer: Okay, I'll wait. Please try your best.\\n\\nAgent 1: Thank you for your patience, Emily. I've just spoken with the lab supervisor, and they have assured me that they will prioritize your test results. They have also mentioned that you'll receive a call from the lab directly once the results are ready. \\n\\nCustomer: Oh, thank you so much, Agent 1. I really appreciate your efforts. I'm just really anxious to know what the results are.\\n\\nAgent 1: I completely understand, Emily. Is there anything else I can assist you with today?\\n\\nCustomer: No, that's all. I just hope to get my results soon. Thank you for your help, Agent 1.\\n\\nAgent 1: You're welcome, Emily. I understand how important this is for you. 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Let me check our system to see how we can assist you with this. Please hold for a moment.\\n\\n(Customer is put on hold for a minute)\\n\\nAgent 1: Thank you for waiting, Mr. Smith. We can certainly help you with your medical records transfer. To initiate the process, we'll need you to fill out a medical records release form. Would you like me to email it to you, or would you prefer to pick it up from our hospital?\\n\\nCustomer: Emailing it to me would be more convenient. Could you please send it to johnsmith@email.com?\\n\\nAgent 1: Absolutely, Mr. Smith. I will send you the form right away. Please check your email within the next few minutes. Once you receive the form, please fill it out completely and return it to us as soon as possible.\\n\\nCustomer: Alright, I'll keep an eye out for the email and fill out the form as soon as I receive it.\\n\\nAgent 1: Perfect, Mr. Smith. Once we receive the completed form, our team will review it and process your medical records request promptly. Is there anything else I can assist you with today?\\n\\nCustomer: No, that's all I needed. Thank you for your help.\\n\\nAgent 1: You're welcome, Mr. Smith. If you have any further questions or need any additional assistance in the future, don't hesitate to reach out to us. Have a great day!\\n\\nCustomer: Thank you, you too. Goodbye.\\n\\nAgent 1: Goodbye, Mr. Smith. Take care. [/INST] Medical Records Requests </s>\",\n          \"<s>[INST] Classify the following call transcript:\\n\\nCustomer: (frustrated) Hello, is this HealthHarbor? I've been trying to get through to someone for ages!\\n\\nAgent 4: Yes, this is HealthHarbor. My name is Agent 4. How can I assist you today?\\n\\nCustomer: Finally! I need some information about your healthcare facility. I've heard mixed reviews, and I want to know if it's worth coming there for my treatment.\\n\\nAgent 4: I understand your concerns. We strive to provide the best healthcare services to our patients. Could you please let me know what specific information you are looking for?\\n\\nCustomer: Well, first of all, I want to know about the range of medical services you offer. Can you give me a brief overview?\\n\\nAgent 4: Absolutely. HealthHarbor is a comprehensive healthcare facility that offers a wide range of medical services. We have departments for general medicine, surgery, pediatrics, gynecology, orthopedics, cardiology, and more. We also have specialized clinics for various conditions such as diabetes, cancer, and mental health.\\n\\nCustomer: Okay, that sounds decent. But what about the quality of your doctors and staff? I don't want to end up with incompetent healthcare professionals.\\n\\nAgent 4: We take pride in our team of highly qualified and experienced doctors, nurses, and staff members. They undergo rigorous training and are dedicated to providing the best care possible. We have a stringent hiring process to ensure that only the best professionals join our team.\\n\\nCustomer: Well, I hope that's true. Now, what about the facilities and equipment at HealthHarbor? Are they up to date?\\n\\nAgent 4: Yes, our facility is equipped with state-of-the-art technology and modern medical equipment. We regularly update our equipment to ensure that our patients receive the best possible care. Our facilities are designed to provide a comfortable and safe environment for our patients.\\n\\nCustomer: That's good to hear. But I've heard some complaints about long waiting times. Can you assure me that I won't have to wait for hours?\\n\\nAgent 4: I apologize if there have been any inconveniences in the past. We strive to minimize waiting times, but sometimes unexpected emergencies or high patient volumes can lead to delays. However, we are continuously working on improving our processes to reduce waiting times and provide efficient care.\\n\\nCustomer: Well, I hope you actually make improvements because waiting for hours is unacceptable. Now, tell me about the cost. Are your services affordable?\\n\\nAgent 4: We understand that healthcare costs can be a concern for many individuals. At HealthHarbor, we offer a range of financial assistance programs and accept various insurance plans to make our services affordable for our patients. We also have transparent pricing policies, and our financial team can help you navigate through any billing concerns.\\n\\nCustomer: Alright, that's reassuring. I guess I have one more question. How can I schedule an appointment at HealthHarbor?\\n\\nAgent 4: You can schedule an appointment by calling our appointment hotline, which is available 24/7. Alternatively, you can visit our website and use our online appointment booking system. We strive to accommodate our patients' schedules and provide timely appointments.\\n\\nCustomer: Alright, thank you for the information. I appreciate your assistance, Agent 4. I hope my experience at HealthHarbor will be better than what I've heard.\\n\\nAgent 4: You're welcome, and I apologize for any negative experiences you may have heard. We value our patients and strive to provide the best care possible. If you have any further questions or concerns, please don't hesitate to reach out to us. We look forward to assisting you with your healthcare needs.\\n\\nCustomer: Thank you. I'll keep that in mind. Goodbye.\\n\\nAgent 4: Goodbye, and take care. [/INST] Healthcare Facility Information </s>\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"convo\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Medical Records Requests\",\n          \"General Inquiries\",\n          \"Healthcare Facility Information\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "                                                text  \\\n",
       "0  <s>[INST] Classify the following call transcri...   \n",
       "1  <s>[INST] Classify the following call transcri...   \n",
       "2  <s>[INST] Classify the following call transcri...   \n",
       "3  <s>[INST] Classify the following call transcri...   \n",
       "4  <s>[INST] Classify the following call transcri...   \n",
       "\n",
       "                                               convo  \\\n",
       "0  [[Agent 3, Thank you for calling HealthHarbor,...   \n",
       "1  [[Agent 2, Thank you for calling HealthHarbor,...   \n",
       "2  [[Agent 4, Thank you for calling HealthHarbor,...   \n",
       "3  [[Agent 1, Thank you for calling HealthHarbor,...   \n",
       "4  [[[Phone ringing], ], [Agent 3, Thank you for ...   \n",
       "\n",
       "                                           label  \n",
       "0           Medical Advice or Symptom Assessment  \n",
       "1                              General Inquiries  \n",
       "2                           Lab and Test Results  \n",
       "3            Follow-up Calls and Care Management  \n",
       "4  Medication Refills and Prescription Inquiries  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "text_df = pd.DataFrame(callcenter_dataset['train'])\n",
    "\n",
    "def parse_transcript(convo):\n",
    "    turns = convo.split('\\n\\n')[1:]\n",
    "    turns = [[t.split(': ')[0], ': '.join(t.split(': ')[1:])] for t in turns]\n",
    "    turns[-1][-1] = turns[-1][-1].split('[/INST]')[0].strip()\n",
    "    return turns\n",
    "\n",
    "text_df['convo'] = text_df['text'].apply(parse_transcript)\n",
    "\n",
    "text_df['label'] = text_df['text'].apply(lambda x: x.split('[/INST]')[-1].split('</s>')[0].strip())\n",
    "\n",
    "text_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "UTnAMBxGPJC4",
   "metadata": {
    "id": "UTnAMBxGPJC4"
   },
   "outputs": [],
   "source": [
    "dataset = load_dataset(\"gretelai/symptom_to_diagnosis\")\n",
    "text_df = pd.DataFrame(list(dataset['train']) + list(dataset['test']))\n",
    "text_df['text'] = text_df['input_text']\n",
    "text_df['label'] = text_df['output_text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "o2upchFdQ5Wg",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "o2upchFdQ5Wg",
    "outputId": "8612aa5e-d6c7-440e-de9e-8586d5ee4964"
   },
   "outputs": [
    {
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       "type": "dataframe",
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       "\n",
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      ],
      "text/plain": [
       "               output_text                                         input_text  \\\n",
       "0     cervical spondylosis  I've been having a lot of pain in my neck and ...   \n",
       "1                 impetigo  I have a rash on my face that is getting worse...   \n",
       "2  urinary tract infection  I have been urinating blood. I sometimes feel ...   \n",
       "3                arthritis  I have been having trouble with my muscles and...   \n",
       "4                   dengue  I have been feeling really sick. My body hurts...   \n",
       "\n",
       "                                                text                    label  \n",
       "0  I've been having a lot of pain in my neck and ...     cervical spondylosis  \n",
       "1  I have a rash on my face that is getting worse...                 impetigo  \n",
       "2  I have been urinating blood. I sometimes feel ...  urinary tract infection  \n",
       "3  I have been having trouble with my muscles and...                arthritis  \n",
       "4  I have been feeling really sick. My body hurts...                   dengue  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1cd89378-09a9-42ec-8030-7cf4e755b494",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 701
    },
    "id": "1cd89378-09a9-42ec-8030-7cf4e755b494",
    "outputId": "90e99601-d342-4d90-c1e3-0f6287847f83"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Distribution of actual conversation labels'}, xlabel='label'>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "text_df['label'].value_counts().plot.bar(\n",
    "    title='Distribution of actual conversation labels'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43814b6e-bbf4-4e25-8763-84ee34e5d8ca",
   "metadata": {
    "id": "43814b6e-bbf4-4e25-8763-84ee34e5d8ca"
   },
   "source": [
    "# Model 1: embed text\n",
    "\n",
    "Using https://huggingface.co/sentence-transformers/all-mpnet-base-v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c2487e9-3483-4896-bccc-6a528cea6970",
   "metadata": {
    "id": "3c2487e9-3483-4896-bccc-6a528cea6970"
   },
   "outputs": [],
   "source": [
    "import sentence_transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1008586d-03fa-4cc3-b196-e2302c8599b6",
   "metadata": {
    "id": "1008586d-03fa-4cc3-b196-e2302c8599b6"
   },
   "outputs": [],
   "source": [
    "from sentence_transformers import SentenceTransformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "TJ43nktd5krj",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 113,
     "referenced_widgets": [
      "72746e8475c44b31a3708ed8f89022d0",
      "8311c895e1f548fba32d97f7d0c0dbc1",
      "b0622770e75e4cb8ba826114c991f18d",
      "df454a557ea44008b17d15a00860b038",
      "b7ed3d0fcd834a3eab30abd6a43b1208",
      "9328f023f45c4c29a02d3116f94544cc",
      "3657a6c82082434caf820b0276c6bb5c",
      "feeeb6ab3c234bc6bf51beaaf7c6f62a",
      "7987245a9ca14b09a7c86049699d6edf",
      "0c5e4d2206f644469ba0da6c64a651f8",
      "a06092a9cfd249639cf0ca9e2db8a584",
      "1811157c7bad4af09df4d4bc3c5585c5",
      "8c6d8ad60cec47bfa94e9e50eac4174a",
      "ab5c895c89b84623a69e5a976a2be8d9",
      "d2910be4793b45da9219af939c0f539d",
      "1cf57ebc607c4fd19e81b6a926c61dda",
      "60237ad7cdde408f85397dab4023b776",
      "a00cc4aa0869476390310276bfdbcca9",
      "26ff875343344d608640965d9490073b",
      "b9eaada8e5964f29be381afb4f313774",
      "c0df11cf518a4c59b4b89cc228aa074c",
      "96f2d23ddac34d49b1700a684b8aaa71",
      "4fde67ee0f1b4ee9a8f17d7918cf4e97",
      "b965a0535ad14bc983617da68beb2a99",
      "b4959211ad6543af9dc8c45ec7323315",
      "ea4b7dd25d11472bbe7d667d9ebc4fd9",
      "e65cbcd16a284bdfbcab0caacd1867a2",
      "e04f000fc9b24adab7502c79a617d5bb",
      "a107bb29853c40eba8b84af7b6b78533",
      "2f98aaa5794549d6a882004dff31b4bb",
      "ea73b6ff3bce4a8aa0627364e2103140",
      "047aeaed319044e998e6c32acf49acaa",
      "fdc72c09b9264219a1755c480ce22bbf"
     ]
    },
    "id": "TJ43nktd5krj",
    "outputId": "bf03e182-e2bd-4bc5-f387-9bc53bae72e9"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "72746e8475c44b31a3708ed8f89022d0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Batches:   0%|          | 0/34 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1811157c7bad4af09df4d4bc3c5585c5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Batches:   0%|          | 0/34 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4fde67ee0f1b4ee9a8f17d7918cf4e97",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Batches:   0%|          | 0/34 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "embeddings = {\n",
    "    'all-mpnet-base-v2': SentenceTransformer('sentence-transformers/all-mpnet-base-v2').encode(text_df['text'], show_progress_bar=True),\n",
    "    'all-MiniLM-L6-v2': SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2').encode(text_df['text'], show_progress_bar=True),\n",
    "    'xlm-r-distilroberta-base-paraphrase-v1': SentenceTransformer('xlm-r-distilroberta-base-paraphrase-v1').encode(text_df['text'], show_progress_bar=True),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db1bf175-0a08-490b-8325-59c08c6a446a",
   "metadata": {
    "id": "db1bf175-0a08-490b-8325-59c08c6a446a"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "615270df-5ee5-4418-b403-2e404bff50d8",
   "metadata": {
    "id": "615270df-5ee5-4418-b403-2e404bff50d8"
   },
   "outputs": [],
   "source": [
    "# Variables to store results\n",
    "def eval_cluster(embeddings, range_n_clusters = range(5, 31)):\n",
    "    sse = []  # Sum of squared distances\n",
    "    silhouette_avg = []  # Silhouette score average\n",
    "\n",
    "    for n_clusters in range_n_clusters:\n",
    "        kmeans = KMeans(n_clusters=n_clusters, random_state=0, n_init='auto').fit(embeddings)\n",
    "        sse.append(kmeans.inertia_)\n",
    "\n",
    "        # Calculate silhouette score\n",
    "        labels = kmeans.labels_\n",
    "        silhouette_avg.append(silhouette_score(embeddings, labels))\n",
    "\n",
    "    return sse, silhouette_avg, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "kkIeeEwg1UDI",
   "metadata": {
    "id": "kkIeeEwg1UDI"
   },
   "outputs": [],
   "source": [
    "os_sse, os_silhouette_avg, os_labels = eval_cluster(embeddings['all-mpnet-base-v2'])\n",
    "\n",
    "cluster_evals = {\n",
    "    'all-mpnet-base-v2': {\n",
    "        'sse': os_sse,\n",
    "        'silhouette_avg': os_silhouette_avg,\n",
    "        'labels': os_labels\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "Ym3wBYzmJexv",
   "metadata": {
    "id": "Ym3wBYzmJexv"
   },
   "outputs": [],
   "source": [
    "os_2_sse, os_2_silhouette_avg, os_2_labels = eval_cluster(embeddings['all-MiniLM-L6-v2'])\n",
    "cluster_evals['all-MiniLM-L6-v2'] = {\n",
    "    'sse': os_2_sse,\n",
    "    'silhouette_avg': os_2_silhouette_avg,\n",
    "    'labels': os_2_labels\n",
    "}\n",
    "\n",
    "os_3_sse, os_3_silhouette_avg, os_3_labels = eval_cluster(embeddings['xlm-r-distilroberta-base-paraphrase-v1'])\n",
    "cluster_evals['xlm-r-distilroberta-base-paraphrase-v1'] = {\n",
    "    'sse': os_3_sse,\n",
    "    'silhouette_avg': os_3_silhouette_avg,\n",
    "    'labels': os_3_labels\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad7c1097-e03d-406e-beee-3407591d4914",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 588
    },
    "id": "ad7c1097-e03d-406e-beee-3407591d4914",
    "outputId": "1a1dad26-2ad6-4681-ecb4-330b5dbc544d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the Elbow Method graph\n",
    "range_n_clusters = range(5, 31)\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(range_n_clusters, os_sse, marker='o')\n",
    "plt.title('Elbow Method')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel('Sum of squared distances')\n",
    "plt.xticks(range_n_clusters)  # Set x-axis ticks to integer values\n",
    "\n",
    "# Plotting the Silhouette Score graph\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(range_n_clusters, os_silhouette_avg, marker='o')\n",
    "plt.title('Silhouette Score')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel('Silhouette Score')\n",
    "plt.xticks(range_n_clusters)  # Set x-axis ticks to integer values\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d22d7ee-dac3-41c9-90ae-edad73b35d1b",
   "metadata": {
    "id": "7d22d7ee-dac3-41c9-90ae-edad73b35d1b"
   },
   "source": [
    "# Try again with OpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25650558-bd3e-47ca-9ab0-45156db73374",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "25650558-bd3e-47ca-9ab0-45156db73374",
    "outputId": "2be572c8-a9e7-49c3-8f27-94d3db0f6d8e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from google.colab import userdata\n",
    "from openai import OpenAI\n",
    "\n",
    "\n",
    "client = OpenAI(\n",
    "    api_key=userdata.get('OPENAI_API_KEY')\n",
    ")\n",
    "\n",
    "# helper functions to get lists of embeddings from the OpenAI API\n",
    "def get_embeddings(texts, engine):\n",
    "    response = client.embeddings.create(\n",
    "        input=texts,\n",
    "        model=engine\n",
    "    )\n",
    "\n",
    "    return [d.embedding for d in list(response.data)]\n",
    "\n",
    "len(get_embeddings(['hi', 'hello'] , 'text-embedding-3-small'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3cf1b3f-3e43-439c-a055-a90f3d348803",
   "metadata": {
    "id": "b3cf1b3f-3e43-439c-a055-a90f3d348803"
   },
   "outputs": [],
   "source": [
    "ENGINES = ['text-embedding-3-large', 'text-embedding-ada-002', 'text-embedding-3-small']\n",
    "\n",
    "for engine in ENGINES:\n",
    "    embeddings['openai__'+engine] = get_embeddings(text_df['text'], engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "lE88UGj9Ks3U",
   "metadata": {
    "id": "lE88UGj9Ks3U"
   },
   "outputs": [],
   "source": [
    "import cohere  # https://docs.cohere.com/reference/embed\n",
    "co = cohere.Client(userdata.get('COHERE_API_KEY'))\n",
    "\n",
    "COHERE_EMBEDDERS = ['embed-english-v3.0', 'embed-multilingual-v3.0', 'embed-english-v2.0']\n",
    "for cohere_engine in COHERE_EMBEDDERS:\n",
    "    embeddings[f'cohere__{cohere_engine}'] = co.embed(\n",
    "        texts=list(text_df['text']),\n",
    "        model=cohere_engine, input_type=\"clustering\"\n",
    "    ).embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "qoIbYR6tP_DA",
   "metadata": {
    "id": "qoIbYR6tP_DA"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da1b9a39-72c4-4c8f-a317-3ec1df19320a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "da1b9a39-72c4-4c8f-a317-3ec1df19320a",
    "outputId": "ae72b391-ecb1-44b8-ccd6-a6b02a30f32a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3513f76-3f8e-44a8-9bc1-58d3fb4f4f1a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d3513f76-3f8e-44a8-9bc1-58d3fb4f4f1a",
    "outputId": "884644a9-67d3-4d80-c360-f54db74c227a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 9/9 [01:42<00:00, 11.34s/it]\n"
     ]
    }
   ],
   "source": [
    "for embedding_engine, _embeddings in tqdm(embeddings.items()):\n",
    "    sse, silhouette_avg, labels = eval_cluster(_embeddings)\n",
    "    cluster_evals[embedding_engine] = {\n",
    "        'sse': sse,\n",
    "        'silhouette_avg': silhouette_avg,\n",
    "        'labels': labels\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "Nr94P8Jp193T",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Nr94P8Jp193T",
    "outputId": "defdb754-ec88-4532-c12f-90d40511844f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding: all-mpnet-base-v2\n",
      "SSE: 260.2655334472656\n",
      "Silhouette Score: 0.1547660529613495\n",
      "\n",
      "Embedding: all-MiniLM-L6-v2\n",
      "SSE: 320.1070251464844\n",
      "Silhouette Score: 0.15413159132003784\n",
      "\n",
      "Embedding: xlm-r-distilroberta-base-paraphrase-v1\n",
      "SSE: 11498.6318359375\n",
      "Silhouette Score: 0.11930572241544724\n",
      "\n",
      "Embedding: openai__text-embedding-3-large\n",
      "SSE: 328.5574079988636\n",
      "Silhouette Score: 0.142255802430213\n",
      "\n",
      "Embedding: openai__text-embedding-ada-002\n",
      "SSE: 91.43504839270918\n",
      "Silhouette Score: 0.12496659798382632\n",
      "\n",
      "Embedding: openai__text-embedding-3-small\n",
      "SSE: 313.62636593413805\n",
      "Silhouette Score: 0.12065360887377127\n",
      "\n",
      "Embedding: cohere__embed-english-v3.0\n",
      "SSE: 252.44925705236216\n",
      "Silhouette Score: 0.1228651350643473\n",
      "\n",
      "Embedding: cohere__embed-multilingual-v3.0\n",
      "SSE: 199.93730921670527\n",
      "Silhouette Score: 0.12680047251404997\n",
      "\n",
      "Embedding: cohere__embed-english-v2.0\n",
      "SSE: 1706024.3947202545\n",
      "Silhouette Score: 0.15137417182846247\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for embedding_name, embedding_data in cluster_evals.items():\n",
    "    print(f\"Embedding: {embedding_name}\")\n",
    "    print(f\"SSE: {min(embedding_data['sse'])}\")\n",
    "    print(f\"Silhouette Score: {max(embedding_data['silhouette_avg'])}\")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e39fa395-bab2-4bc1-9bd8-44a0870eb577",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 607
    },
    "id": "e39fa395-bab2-4bc1-9bd8-44a0870eb577",
    "outputId": "0c22e81d-f76c-4dfd-a8bb-a05f62abc2b4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster_eval_df = pd.DataFrame(cluster_evals).T\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "df = cluster_eval_df.applymap(lambda x: max(x))['silhouette_avg'].sort_values(\n",
    "    ascending=True)\n",
    "# Plotting\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "df.plot(kind='bar', color=sns.color_palette(\"viridis\", len(df)), ax=ax)\n",
    "ax.set_title('Best Silhouette Scores by Model', fontsize=16)\n",
    "ax.set_xlabel('Model', fontsize=12)\n",
    "ax.set_ylabel('Silhouette Score', fontsize=12)\n",
    "\n",
    "# Rotate x-axis labels to prevent overlapping\n",
    "ax.set_xticklabels(df.index, rotation=45, ha=\"right\")\n",
    "\n",
    "# Optional: Set a buffer around the x-axis labels to ensure they fit in the figure\n",
    "plt.subplots_adjust(bottom=0.2)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "_vatp_1e5BSF",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 488
    },
    "id": "_vatp_1e5BSF",
    "outputId": "43878ba4-7b48-4e34-d439-8b63ba189f9d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"cluster_eval_df\",\n  \"rows\": 9,\n  \"fields\": [\n    {\n      \"column\": \"sse\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"silhouette_avg\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"labels\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "cluster_eval_df"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-417c3b7c-3639-40ae-803a-a4ee01589e32\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sse</th>\n",
       "      <th>silhouette_avg</th>\n",
       "      <th>labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all-mpnet-base-v2</th>\n",
       "      <td>[413.7497863769531, 393.39801025390625, 372.08...</td>\n",
       "      <td>[0.14640607, 0.12586077, 0.14054222, 0.1489988...</td>\n",
       "      <td>[4, 11, 12, 27, 6, 1, 18, 23, 11, 26, 27, 4, 4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>all-MiniLM-L6-v2</th>\n",
       "      <td>[512.4398193359375, 475.2136535644531, 445.671...</td>\n",
       "      <td>[0.12720889, 0.14510484, 0.14560066, 0.1541315...</td>\n",
       "      <td>[9, 8, 7, 6, 20, 28, 22, 20, 8, 16, 6, 9, 9, 7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xlm-r-distilroberta-base-paraphrase-v1</th>\n",
       "      <td>[17323.5625, 16542.546875, 15970.10546875, 156...</td>\n",
       "      <td>[0.113634266, 0.11278692, 0.11930572, 0.115039...</td>\n",
       "      <td>[2, 16, 13, 21, 17, 25, 5, 17, 22, 15, 19, 2, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>openai__text-embedding-3-large</th>\n",
       "      <td>[491.4028631053612, 468.25399932886734, 451.76...</td>\n",
       "      <td>[0.10598471986887614, 0.11400645289438928, 0.1...</td>\n",
       "      <td>[3, 28, 17, 15, 18, 10, 18, 2, 28, 19, 15, 3, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>openai__text-embedding-ada-002</th>\n",
       "      <td>[134.68102180124708, 129.1322259296785, 124.41...</td>\n",
       "      <td>[0.10462777115086912, 0.09789645562621387, 0.1...</td>\n",
       "      <td>[2, 29, 17, 27, 13, 1, 18, 13, 29, 16, 27, 2, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>openai__text-embedding-3-small</th>\n",
       "      <td>[456.33472045957313, 437.83112262650866, 422.9...</td>\n",
       "      <td>[0.10947612848572366, 0.11254328022789707, 0.1...</td>\n",
       "      <td>[8, 20, 22, 6, 18, 18, 27, 18, 20, 2, 6, 8, 8,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cohere__embed-english-v3.0</th>\n",
       "      <td>[375.7783678684019, 353.2732168184056, 346.326...</td>\n",
       "      <td>[0.0882694047843916, 0.11135379272435102, 0.10...</td>\n",
       "      <td>[8, 25, 24, 19, 12, 10, 16, 4, 25, 2, 19, 8, 8...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cohere__embed-multilingual-v3.0</th>\n",
       "      <td>[288.62903735187007, 279.28491018537176, 268.8...</td>\n",
       "      <td>[0.09974678637434589, 0.1090262688238912, 0.11...</td>\n",
       "      <td>[22, 28, 21, 15, 19, 17, 19, 18, 28, 12, 15, 3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cohere__embed-english-v2.0</th>\n",
       "      <td>[2774738.890764295, 2642493.3469692958, 251606...</td>\n",
       "      <td>[0.10941738677862145, 0.12171272628463235, 0.1...</td>\n",
       "      <td>[15, 18, 6, 23, 1, 17, 12, 8, 18, 25, 23, 15, ...</td>\n",
       "    </tr>\n",
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       "\n",
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       "  </div>\n"
      ],
      "text/plain": [
       "                                                                                      sse  \\\n",
       "all-mpnet-base-v2                       [413.7497863769531, 393.39801025390625, 372.08...   \n",
       "all-MiniLM-L6-v2                        [512.4398193359375, 475.2136535644531, 445.671...   \n",
       "xlm-r-distilroberta-base-paraphrase-v1  [17323.5625, 16542.546875, 15970.10546875, 156...   \n",
       "openai__text-embedding-3-large          [491.4028631053612, 468.25399932886734, 451.76...   \n",
       "openai__text-embedding-ada-002          [134.68102180124708, 129.1322259296785, 124.41...   \n",
       "openai__text-embedding-3-small          [456.33472045957313, 437.83112262650866, 422.9...   \n",
       "cohere__embed-english-v3.0              [375.7783678684019, 353.2732168184056, 346.326...   \n",
       "cohere__embed-multilingual-v3.0         [288.62903735187007, 279.28491018537176, 268.8...   \n",
       "cohere__embed-english-v2.0              [2774738.890764295, 2642493.3469692958, 251606...   \n",
       "\n",
       "                                                                           silhouette_avg  \\\n",
       "all-mpnet-base-v2                       [0.14640607, 0.12586077, 0.14054222, 0.1489988...   \n",
       "all-MiniLM-L6-v2                        [0.12720889, 0.14510484, 0.14560066, 0.1541315...   \n",
       "xlm-r-distilroberta-base-paraphrase-v1  [0.113634266, 0.11278692, 0.11930572, 0.115039...   \n",
       "openai__text-embedding-3-large          [0.10598471986887614, 0.11400645289438928, 0.1...   \n",
       "openai__text-embedding-ada-002          [0.10462777115086912, 0.09789645562621387, 0.1...   \n",
       "openai__text-embedding-3-small          [0.10947612848572366, 0.11254328022789707, 0.1...   \n",
       "cohere__embed-english-v3.0              [0.0882694047843916, 0.11135379272435102, 0.10...   \n",
       "cohere__embed-multilingual-v3.0         [0.09974678637434589, 0.1090262688238912, 0.11...   \n",
       "cohere__embed-english-v2.0              [0.10941738677862145, 0.12171272628463235, 0.1...   \n",
       "\n",
       "                                                                                   labels  \n",
       "all-mpnet-base-v2                       [4, 11, 12, 27, 6, 1, 18, 23, 11, 26, 27, 4, 4...  \n",
       "all-MiniLM-L6-v2                        [9, 8, 7, 6, 20, 28, 22, 20, 8, 16, 6, 9, 9, 7...  \n",
       "xlm-r-distilroberta-base-paraphrase-v1  [2, 16, 13, 21, 17, 25, 5, 17, 22, 15, 19, 2, ...  \n",
       "openai__text-embedding-3-large          [3, 28, 17, 15, 18, 10, 18, 2, 28, 19, 15, 3, ...  \n",
       "openai__text-embedding-ada-002          [2, 29, 17, 27, 13, 1, 18, 13, 29, 16, 27, 2, ...  \n",
       "openai__text-embedding-3-small          [8, 20, 22, 6, 18, 18, 27, 18, 20, 2, 6, 8, 8,...  \n",
       "cohere__embed-english-v3.0              [8, 25, 24, 19, 12, 10, 16, 4, 25, 2, 19, 8, 8...  \n",
       "cohere__embed-multilingual-v3.0         [22, 28, 21, 15, 19, 17, 19, 18, 28, 12, 15, 3...  \n",
       "cohere__embed-english-v2.0              [15, 18, 6, 23, 1, 17, 12, 8, 18, 25, 23, 15, ...  "
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_eval_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "k2mfewVf4S5v",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "k2mfewVf4S5v",
    "outputId": "e4d1a846-443b-49e2-b229-df0a260d44e2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Embedder: all-mpnet-base-v2\n"
     ]
    }
   ],
   "source": [
    "best_embedder = cluster_eval_df.applymap(lambda x: max(x))['silhouette_avg'].sort_values(\n",
    "    ascending=True).index[-1]\n",
    "\n",
    "print(f\"Best Embedder: {best_embedder}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "YDSsYKt14ru4",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 588
    },
    "id": "YDSsYKt14ru4",
    "outputId": "3c9935d2-33da-4257-e74f-9576d248229e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the Elbow Method graph\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(range_n_clusters, cluster_eval_df.loc[best_embedder]['sse'], marker='o')\n",
    "plt.title('Elbow Method')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel('Sum of squared distances')\n",
    "plt.xticks(range_n_clusters)  # Set x-axis ticks to integer values\n",
    "\n",
    "# Plotting the Silhouette Score graph\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(range_n_clusters, cluster_eval_df.loc[best_embedder]['silhouette_avg'], marker='o')\n",
    "plt.title(f'Silhouette Score for {best_embedder}')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel(f'Silhouette Score')\n",
    "plt.xticks(range_n_clusters)  # Set x-axis ticks to integer values\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dlcPo3jZ91Mg",
   "metadata": {
    "id": "dlcPo3jZ91Mg"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1IJiS6vKMAgs",
   "metadata": {
    "id": "1IJiS6vKMAgs"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "machine_shape": "hm",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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